Data Visualization Specialist

Position: Data Visualization Specialist

Location: Downtown Honolulu, HI (On-site, Full-Time)

Hours: 8:00 AM – 5:00 PM

Salary Range: $65,000 - $80,000

(The final salary offer is contingent upon the candidate’s experience, qualifications, and market and business conditions.)

Please note: Due to the high volume of resumes and applications we receive daily, we will only consider candidates who currently reside in HI at this time.

Our CPA network firm, Accuity located in beautiful Honolulu, HI is committed to building trusted partnerships through expert advice and a collaborative, positive work environment. They value optimism, balance, and employee growth, offering meaningful work and a supportive culture.

Accuity helps clients build value, manage risk and achieve growth.

For over 70 years, Accuity has been a part of Hawaii’s business community, helping organizations and individuals grow and thrive. We combine deep local expertise with the resources of a global network to deliver tailored solutions in audit, tax, technology consulting, management consulting, and client advisory services. At Accuity, we build strong client relationships and provide forward-thinking strategies that align with your unique goals.

Whether guiding complex organizations or advising individuals, we’re committed to delivering clarity, confidence, and actionable insights for every decision.

We are seeking a technically curious and detail-oriented Data Visualization Specialist to support and enhance Accuity’s practice management data systems built on Microsoft Dynamics 365 (Dataverse). This role finds you at the intersection of data, systems, and business operations where you will ensure that the Firm’s reporting and operational insights are trustworthy and actionable.

This is a hands‑on technical position involving scripting, data transformation, reporting development, and API‑based integrations. Current workflows may include Python and interaction with the Dataverse Web API, with tools and approaches continuing to evolve as systems mature.

This position serves as a bridge between technical systems and business users—translating complex technical work into clear, usable outcomes for non‑technical stakeholders. While the role works closely with IT and engineering‑adjacent functions, it does not own enterprise architecture, identity management, or tenant‑level security design.

Over time, this position is expected to assume primary technical ownership of defined practice management datasets and reporting processes, with the pace of that transition aligned to experience, capability, and demonstrated readiness.

• Execute, maintain, and improve data migration, validation, and transformation workflows
• Maintain and enhance Power BI datasets, reports, and visualizations
• Retrieve, validate, and migrate data using system APIs and platform tools
• Support stakeholders with reporting and data interpretation
• Identify, troubleshoot, and resolve data quality issues within defined systems
• Document data workflows, assumptions, and processes to improve clarity and continuity

All candidates should demonstrate a strong technical foundation paired with an ownership mindset.

• The ability to read, understand, and modify code used in data workflows
• Familiarity with structured data concepts such as tables, joins, validation, and transformation
• Experience working with data outside of Excel (e.g., databases, BI models, or scripts)
• The ability to clearly explain technical concepts and work to non‑technical audiences
• Curiosity, adaptability, and comfort learning unfamiliar systems

Experience with Microsoft Dataverse, Dynamics 365, Python, or REST‑style APIs is beneficial but not required.

Formal titles, degrees, or certifications are less important than demonstrated capability, sound judgment, and a willingness to take ownership of meaningful work.

This role supports different entry profiles, with initial scope and ramp‑up aligned to demonstrated experience and technical capability.

Often a fit for candidates with early professional experience or…